Application-aware software-defined EPON access network

Application-aware software-defined EPON access network As bandwidth requirements of users in passive optical networks continue to increase rapidly, especially due to the growth of video-streaming traffic, the need to resolve bandwidth contention among competing users and applications becomes more compelling. To address this problem, we propose application-aware software-defined Ethernet passive optical network (EPON) architecture. It utilizes application-level feedback from the client side (for video users) to the network, through a software-defined network controller, to achieve better client- and service-level differentiation in the downstream direction of an EPON access network. We adopt adaptive video streaming that utilizes feedbacks regarding network congestion for improving Quality of Experience (QoE) of video-streaming clients. Numerical results for video-streaming applications demonstrate that the proposed architecture for downstream resource allocation considerably reduces video stalls, increases video buffer levels, and also reduces video-switching rate, leading to better QoE for users as a result of better client- and service-level differentiation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Photonic Network Communications Springer Journals

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Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer Science+Business Media New York
Subject
Computer Science; Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials
ISSN
1387-974X
eISSN
1572-8188
D.O.I.
10.1007/s11107-015-0554-7
Publisher site
See Article on Publisher Site

Abstract

As bandwidth requirements of users in passive optical networks continue to increase rapidly, especially due to the growth of video-streaming traffic, the need to resolve bandwidth contention among competing users and applications becomes more compelling. To address this problem, we propose application-aware software-defined Ethernet passive optical network (EPON) architecture. It utilizes application-level feedback from the client side (for video users) to the network, through a software-defined network controller, to achieve better client- and service-level differentiation in the downstream direction of an EPON access network. We adopt adaptive video streaming that utilizes feedbacks regarding network congestion for improving Quality of Experience (QoE) of video-streaming clients. Numerical results for video-streaming applications demonstrate that the proposed architecture for downstream resource allocation considerably reduces video stalls, increases video buffer levels, and also reduces video-switching rate, leading to better QoE for users as a result of better client- and service-level differentiation.

Journal

Photonic Network CommunicationsSpringer Journals

Published: Oct 16, 2015

References

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